Senior Machine Learning Engineer

Job not on LinkedIn

🔥 18 hours ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Q2

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

💳 Fintech

🏦 Banking

Consulting • Fintech • Banking

Q2 is a technology company that provides a comprehensive digital banking platform designed to enhance the customer experience in commercial and consumer banking. Their solutions encompass personalized consumer banking, tailored small business banking services, and robust commercial banking capabilities, all powered by data-driven insights and advanced fraud management tools. Q2 focuses on empowering financial institutions to grow and optimize their client relationships through innovative technology, facilitating everything from digital onboarding to risk management.

📋 Description

• Design, build, and deliver production-ready AI capabilities, services, and applications solving customer and business problems • Develop scalable APIs, microservices, data integrations, and backend systems enabling AI-powered products and workflows • Build and improve AI infrastructure, including evaluation frameworks, deployment pipelines, monitoring, observability, and automated testing • Prototype and evaluate emerging AI technologies, including LLMs and agentic workflows • Turn successful AI prototypes into reliable, enterprise-grade solutions • Work across cloud infrastructure, data platforms, and application layers to integrate AI capabilities into Q2’s technology ecosystem • Collaborate with product, engineering, data, and platform teams to define solutions and make technical tradeoffs • Take ideas from early exploration through production

🎯 Requirements

• Bachelor’s degree in a relevant degree and a minimum of 5 years of related experience; or an advanced degree with 3+ years of experience; or equivalent related work experience • 5+ years of professional software/ML/AI engineering experience, with meaningful production ownership • Strong software engineering fundamentals and a track record of designing, building, deploying and maintaining production systems • Strong Python skills; experience with C#, Java, TypeScript, etc. is valuable • Experience building APIs, backend services, microservices, data integrations or distributed systems • Hands-on experience with cloud infrastructure, containers and production deployment • Kubernetes/Docker/MLOps experience is particularly valuable • Experience building or operating ML/AI systems in production, including evaluation, monitoring, observability and deployment pipelines • Exposure to LLM applications, RAG, agentic workflows, model/tool integration or similar modern AI patterns • Ability and willingness to work across AI, backend, infrastructure, data and occasionally UI/application code • Strong ownership, curiosity and comfort operating in an environment where patterns and solutions are still being established • Fluent written and oral communication in English

🏖️ Benefits

• Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents • Hybrid Work Opportunities • Flexible Time Off • Career Development & Mentoring Programs • Community Volunteering & Company Philanthropy Programs • Employee Peer Recognition Programs – “You Earned it” • Ongoing learning opportunities • Internal mobility • Meaningful leadership relationships • Company-wide volunteer days • Q2 Homecoming Week featuring learning, community service, and culture-building experiences • Spark Program volunteer work and nonprofit support